… generative adversarial net⁃ work from several representative aspects,and further we pointed
out the possible improvement … 而Transformer 结构使用的是多头自注意力机 制,对比CNN,采用…

… Structure-aware transformer policy for inhomogeneous multi-task reinforcement learning.
In: Proceedings of the 10th International Conference on Learning Representations (ICLR). …

… In order to utilize the local features of image and improve the … fusion module based on
Transformer architecture to learn and fuse … Adversarial feature hallucination networks for few-shot …

… 进行建模, 并使用自适应增强 Adaboost (adaptive boosting)算法[108]测量眼睛的闭合程度以…
[118]; 然后采用自 动化的视觉转换器(vision transformer)[119]代替手工特征提取的方式, 从上述…

… has attracted an increasing attention in algorithmic research … (spatial attention and generative
adversarial network,SAGA)的… 有跨视图注 意力机制的Transformer模型.该机制将空间注意力 …

… 近年来,Transformer 模型越来越多地用于深度强化学习的记忆功能,并展现出远优于LSTM,GRU
等传统记忆网络的泛化性能.Parisotto 将基于注意力机制的Transformer 模型[76]用作跨情节…

… However, along with the increasing of neural network layers, a large number of parameters
… 文献 [162]主要针对基于Transformer 的大规模语言表示 提出了一种有效的加速框架Ftrans. 该…